论文标题
环境意识可重新配置的噪声抑制
Environment-aware Reconfigurable Noise Suppression
论文作者
论文摘要
本文提出了一种有效，稳健和可重构的技术，以抑制任何采样率的各种噪音。理论分析，主观和客观测试结果表明，提出的噪声抑制（NS）解决方案显着增强了语音传播指数（STI），语音清晰度（SI），信噪比（SNR）和主观听力经验。 STI和SI由5个级别组成，即坏，贫穷，公平，好和出色。最常见的嘈杂条件是SNR范围为-5至8 dB。对于-5和2.5 dB之间的输入SNR，拟议的NS将STI和SI从“ Fair”改进到“良好”。对于2.5至8 dB之间的输入SNR，拟议的NS将STI和SI从“良好”提高到“优秀”。拟议的NS可以在通过Internet协议，语音触发和自动语音识别应用程序的语音捕获和播放路径中采用。
The paper proposes an efficient, robust, and reconfigurable technique to suppress various types of noises for any sampling rate. The theoretical analyses, subjective and objective test results show that the proposed noise suppression (NS) solution significantly enhances the speech transmission index (STI), speech intelligibility (SI), signal-to-noise ratio (SNR), and subjective listening experience. The STI and SI consists of 5 levels, i.e., bad, poor, fair, good, and excellent. The most common noisy condition is of SNR ranging from -5 to 8 dB. For the input SNR between -5 and 2.5 dB, the proposed NS improves the STI and SI from "fair" to "good". For the input SNR between 2.5 to 8 dB, the STI and SI are improved from "good" to "excellent" by the proposed NS. The proposed NS can be adopted in both capture and playback paths for voice over internet protocol, voice-trigger, and automatic speech recognition applications.
